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- Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja
- 2012 IEEE Conference on Computer Vision and…
- 2012
In this paper, we formulate object tracking in a particle filter framework as a multi-task sparse learning problem, which we denote as Multi-Task Tracking (MTT). Since we model particles as linear… (More)
- Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, Juan Carlos Niebles
- 2015 IEEE Conference on Computer Vision and…
- 2015
In spite of many dataset efforts for human action recognition, current computer vision algorithms are still severely limited in terms of the variability and complexity of the actions that they can… (More)
- Matej Kristan, Aleš Leonardis, +135 authors Zhizhen Chi
- ECCV Workshops
- 2016
The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply prelearned models of object appearance. Results of 70 trackers are presented,… (More)
- Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja
- International Journal of Computer Vision
- 2012
In this paper, we formulate object tracking in a particle filter framework as a structured multi-task sparse learning problem, which we denote as Structured Multi-Task Tracking (S-MTT). Since we… (More)
- Bernard Ghanem, Narendra Ahuja
- ECCV
- 2010
The range space of dynamic textures spans spatiotemporal phenomena that vary along three fundamental dimensions: spatial texture, spatial texture layout, and dynamics. By describing each dimension… (More)
- Matthias Mueller, Neil Smith, Bernard Ghanem
- ECCV
- 2016
In this paper, we propose a new aerial video dataset and benchmark for low altitude UAV target tracking, as well as, a photorealistic UAV simulator that can be coupled with tracking methods. Our… (More)
Object proposals have contributed significantly to recent advances in object understanding in images. Inspired by the success of this approach, we introduce Deep Action Proposals (DAPs), an effective… (More)
- Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja
- ECCV
- 2012
In this paper, we propose a new particle-filter based tracking algorithm that exploits the relationship between particles (candidate targets). By representing particles as sparse linear combinations… (More)
- Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang, Bernard Ghanem
- International Journal of Computer Vision
- 2014
Object tracking is the process of determining the states of a target in consecutive video frames based on properties of motion and appearance consistency. In this paper, we propose a consistent… (More)
- Tianzhu Zhang, Si Liu, +4 authors Ming-Hsuan Yang
- 2015 IEEE Conference on Computer Vision and…
- 2015
Sparse representation has been applied to visual tracking by finding the best target candidate with minimal reconstruction error by use of target templates. However, most sparse representation based… (More)